Title 1: YOLOv8-Based Anomaly Detection for Solar PV Manufacturing Execution Systems.
Target: ICMIC: Processing
Title 2: Multi-class machine learning model for the prediction of work-related musculoskeletal disorder
Target: KCIS: Processing - For Submission
A YOLO v8 based anomaly detection for solar PV Manufacturing Execution systems- Capstone project and in preparation for ICMIC conference
1. Started writing and developing the paperwork.
Multi-class machine learning model for the prediction of work-related musculoskeletal disorder.
1. Started writing and developing the paperwork.
Title 1: Research Outline Set-up - Initiate Chapter 1 & 2
Update and Finish Introduction and Related Works with Problem Formulation
Title 2: Scout for dataset, Begin Introduction and Related Works with Problem Formulation
To start with the integration of blockchain and Jetson Nano for various use cases in AI and Robotics.
====================
Blockchain Implementation: In progress
====================
Title 1 -> Gathered data. Started the paperwork
====================
Blockchain Implementation: Solidity codes and Smart contracts
====================
Title 2 -> Gathered dataset
Title 1 -> Train the model with the dataset and run some hyper parameter tuning
====================
Blockchain Implementation: Jetson Nano
====================
Title 2 -> Train the model with the dataset and run some hyper parameter tuning
1. Continue Study on Blockchain
2. Finish Paper 1 with result (On-going)
3. Finish Paper 2 with result (Started)
4. Submit Journal
1. To attend at least 2 conferences (2/2) - KICS Winter 2024, ICMIC 2024
2. Submit and publish one SCI Journal (0/1)
3. Become proficient in building Blockchain networks